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<a href="_product_kernel_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">//===========================================================================</span><span class="comment"></span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> * </span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> *</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> * \brief       Product of kernel functions.</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> * </span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> * </span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> *</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> * \author      T. Glasmachers, O.Krause</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> * \date        2012</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> *</span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> *</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * </span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * </span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * </span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> * </span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment"> *</span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="comment"> */</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment">//===========================================================================</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span> </div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="preprocessor">#ifndef SHARK_MODELS_KERNELS_PRODUCTKERNEL_H</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="preprocessor">#define SHARK_MODELS_KERNELS_PRODUCTKERNEL_H</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span> </div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span> </div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="preprocessor">#include &lt;<a class="code" href="_abstract_kernel_function_8h.html" title="abstract super class of all kernel functions">shark/Models/Kernels/AbstractKernelFunction.h</a>&gt;</span></div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span> </div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a>{</div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span> </div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span><span class="comment"></span> </div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="comment">///</span></div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="comment">/// \brief Product of kernel functions.</span></div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="comment">///</span></div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span><span class="comment">/// The product of any number of kernels is again a valid kernel.</span></div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="comment">/// This class supports a kernel af the form</span></div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span><span class="comment">/// \f$ k(x, x&#39;) = k_1(x, x&#39;) \cdot k_2(x, x&#39;) \cdot \dots \cdot k_n(x, x&#39;) \f$</span></div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span><span class="comment">/// for any number of base kernels. All kernels need to be defined</span></div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="comment">/// on the same input space.</span></div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="comment">///</span></div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span><span class="comment">/// Derivatives are currently not implemented. Only the plain</span></div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span><span class="comment">/// kernel value can be computed. Everyone is free to add this</span></div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span><span class="comment">/// functionality :)</span></div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span><span class="comment">///</span></div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span><span class="comment">/// \ingroup kernels</span></div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span><span class="comment"></span><span class="keyword">template</span>&lt;<span class="keyword">class</span> InputType&gt;</div>
<div class="foldopen" id="foldopen00061" data-start="{" data-end="};">
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html">   61</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_product_kernel.html" title="Product of kernel functions.">ProductKernel</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html" title="Base class of all Kernel functions.">AbstractKernelFunction</a>&lt;InputType&gt;</div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>{</div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span><span class="keyword">private</span>:</div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html" title="Base class of all Kernel functions.">AbstractKernelFunction&lt;InputType&gt;</a> <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">base_type</a>;</div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#aa7fa5438e462e1593d8355a5ef2a6429">   66</a></span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html" title="Base class of all Kernel functions.">AbstractKernelFunction&lt;InputType&gt;</a> <a class="code hl_typedef" href="classshark_1_1_product_kernel.html#aa7fa5438e462e1593d8355a5ef2a6429">SubKernel</a>;</div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#aa90803815be279450eebc269666342d0">   67</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_kernel_function.html#adbf700c2ece7236c70cef4b88777a733" title="batch input type of the kernel">base_type::BatchInputType</a> <a class="code hl_typedef" href="classshark_1_1_product_kernel.html#aa90803815be279450eebc269666342d0">BatchInputType</a>;</div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#ad3ae67033326d5248ebf276c37113ad1">   68</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_kernel_function.html#a40e365cb5ec7d2776105a4aef4e78df3" title="Const references to InputType.">base_type::ConstInputReference</a> <a class="code hl_typedef" href="classshark_1_1_product_kernel.html#ad3ae67033326d5248ebf276c37113ad1">ConstInputReference</a>;</div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#aa1a07a8b83d0b9f3062b29b52439a85a">   69</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b" title="Const references to BatchInputType.">base_type::ConstBatchInputReference</a> <a class="code hl_typedef" href="classshark_1_1_product_kernel.html#aa1a07a8b83d0b9f3062b29b52439a85a">ConstBatchInputReference</a>;<span class="comment"></span></div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span><span class="comment">    /// \brief Default constructor.</span></div>
<div class="foldopen" id="foldopen00071" data-start="{" data-end="}">
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#a7b82db04cf4a0e7945161e332204fe34">   71</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_product_kernel.html#a7b82db04cf4a0e7945161e332204fe34" title="Default constructor.">ProductKernel</a>(){</div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        <span class="comment">// this-&gt;m_features |= base_type::HAS_FIRST_PARAMETER_DERIVATIVE;</span></div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>        <span class="comment">// this-&gt;m_features |= base_type::HAS_SECOND_PARAMETER_DERIVATIVE;</span></div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>        <span class="comment">// this-&gt;m_features |= base_type::HAS_FIRST_INPUT_DERIVATIVE;</span></div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>        <span class="comment">// this-&gt;m_features |= base_type::HAS_SECOND_INPUT_DERIVATIVE;</span></div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>        this-&gt;<a class="code hl_variable" href="classshark_1_1_abstract_kernel_function.html#aa13e9ab3b8bbad9e1d773468671703e6">m_features</a> |= <a class="code hl_enumvalue" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bdea389ad713fc9ba77daf7a89714e5db666" title="does k(x, x) = 1 hold for all inputs x?">base_type::IS_NORMALIZED</a>;    <span class="comment">// an &quot;empty&quot; product is a normalized kernel (k(x, x) = 1).</span></div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>    }</div>
</div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span><span class="comment"></span> </div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span><span class="comment">    /// \brief Constructor for a product of two kernels.</span></div>
<div class="foldopen" id="foldopen00080" data-start="{" data-end="}">
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#a256e3147f4c3fcc1222e550e335c2c3d">   80</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_product_kernel.html#a256e3147f4c3fcc1222e550e335c2c3d" title="Constructor for a product of two kernels.">ProductKernel</a>(SubKernel* k1, <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">SubKernel</a>* k2){</div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="comment">// this-&gt;m_features |= base_type::HAS_FIRST_PARAMETER_DERIVATIVE;</span></div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        <span class="comment">// this-&gt;m_features |= base_type::HAS_SECOND_PARAMETER_DERIVATIVE;</span></div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>        <span class="comment">// this-&gt;m_features |= base_type::HAS_FIRST_INPUT_DERIVATIVE;</span></div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        <span class="comment">// this-&gt;m_features |= base_type::HAS_SECOND_INPUT_DERIVATIVE;</span></div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>        this-&gt;<a class="code hl_variable" href="classshark_1_1_abstract_kernel_function.html#aa13e9ab3b8bbad9e1d773468671703e6">m_features</a> |= <a class="code hl_enumvalue" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bdea389ad713fc9ba77daf7a89714e5db666" title="does k(x, x) = 1 hold for all inputs x?">base_type::IS_NORMALIZED</a>;    <span class="comment">// an &quot;empty&quot; product is a normalized kernel (k(x, x) = 1).</span></div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>        <a class="code hl_function" href="classshark_1_1_product_kernel.html#ae1a781a38a1a31476a4308280a0d3ea4" title="Add one more kernel to the expansion.">addKernel</a>(k1);</div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>        <a class="code hl_function" href="classshark_1_1_product_kernel.html#ae1a781a38a1a31476a4308280a0d3ea4" title="Add one more kernel to the expansion.">addKernel</a>(k2);</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>    }</div>
</div>
<div class="foldopen" id="foldopen00089" data-start="{" data-end="}">
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#a8816bb3244d7060e59b2206e70fbffe4">   89</a></span>    <a class="code hl_function" href="classshark_1_1_product_kernel.html#a8816bb3244d7060e59b2206e70fbffe4">ProductKernel</a>(std::vector&lt;SubKernel*&gt; kernels){</div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>        <span class="comment">// this-&gt;m_features |= base_type::HAS_FIRST_PARAMETER_DERIVATIVE;</span></div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>        <span class="comment">// this-&gt;m_features |= base_type::HAS_SECOND_PARAMETER_DERIVATIVE;</span></div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>        <span class="comment">// this-&gt;m_features |= base_type::HAS_FIRST_INPUT_DERIVATIVE;</span></div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>        <span class="comment">// this-&gt;m_features |= base_type::HAS_SECOND_INPUT_DERIVATIVE;</span></div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>        this-&gt;<a class="code hl_variable" href="classshark_1_1_abstract_kernel_function.html#aa13e9ab3b8bbad9e1d773468671703e6">m_features</a> |= <a class="code hl_enumvalue" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bdea389ad713fc9ba77daf7a89714e5db666" title="does k(x, x) = 1 hold for all inputs x?">base_type::IS_NORMALIZED</a>;    <span class="comment">// an &quot;empty&quot; product is a normalized kernel (k(x, x) = 1).</span></div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>        <span class="keywordflow">for</span>(std::size_t i = 0; i != kernels.size(); ++i)</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>            <a class="code hl_function" href="classshark_1_1_product_kernel.html#ae1a781a38a1a31476a4308280a0d3ea4" title="Add one more kernel to the expansion.">addKernel</a>(kernels[i]);</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>    }</div>
</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span><span class="comment"></span> </div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span><span class="comment">    /// \brief From INameable: return the class name.</span></div>
<div class="foldopen" id="foldopen00100" data-start="{" data-end="}">
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#a55bec5519bf13ebc4a07a82414a4a8dc">  100</a></span><span class="comment"></span>    std::string <a class="code hl_function" href="classshark_1_1_product_kernel.html#a55bec5519bf13ebc4a07a82414a4a8dc" title="From INameable: return the class name.">name</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <span class="stringliteral">&quot;ProductKernel&quot;</span>; }</div>
</div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span><span class="comment"></span> </div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span><span class="comment">    /// \brief Add one more kernel to the expansion.</span></div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span><span class="comment">    /// \param  k  The pointer is expected to remain valid during the lifetime of the ProductKernel object.</span></div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span><span class="comment">    ///</span></div>
<div class="foldopen" id="foldopen00107" data-start="{" data-end="}">
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#ae1a781a38a1a31476a4308280a0d3ea4">  107</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_product_kernel.html#ae1a781a38a1a31476a4308280a0d3ea4" title="Add one more kernel to the expansion.">addKernel</a>(<a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">SubKernel</a>* k){</div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(k != NULL);</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span> </div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>        <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502" title="vector of sub-kernels">m_kernels</a>.push_back(k);</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>        <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a32f0a658c9e09cfc1f7229b0f129bac1" title="total number of parameters in the product (this is redundant information)">m_numberOfParameters</a> += k-&gt;<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#aed1e8d1d4dbde387e2f6a25141ed3a20" title="Return the number of parameters.">numberOfParameters</a>();</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>        <span class="keywordflow">if</span> (! k-&gt;<a class="code hl_function" href="classshark_1_1_abstract_kernel_function.html#a3b60def6354aac30a9c2ce5bffa6f9ae">isNormalized</a>()) this-&gt;<a class="code hl_variable" href="classshark_1_1_abstract_kernel_function.html#aa13e9ab3b8bbad9e1d773468671703e6">m_features</a>.<a class="code hl_function" href="classshark_1_1_typed_flags.html#a68f0c572adf112b680ef11531aa9ffb8">reset</a>(<a class="code hl_enumvalue" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bdea389ad713fc9ba77daf7a89714e5db666" title="does k(x, x) = 1 hold for all inputs x?">base_type::IS_NORMALIZED</a>);   <span class="comment">// products of normalized kernels are normalized.</span></div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>    }</div>
</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span> </div>
<div class="foldopen" id="foldopen00115" data-start="{" data-end="}">
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#a3c48a869a311ce86dcf66552f6d09e80">  115</a></span>    RealVector <a class="code hl_function" href="classshark_1_1_product_kernel.html#a3c48a869a311ce86dcf66552f6d09e80" title="Return the parameter vector.">parameterVector</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>        RealVector ret(<a class="code hl_variable" href="classshark_1_1_product_kernel.html#a32f0a658c9e09cfc1f7229b0f129bac1" title="total number of parameters in the product (this is redundant information)">m_numberOfParameters</a>);</div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>        std::size_t pos = 0;</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>        <span class="keywordflow">for</span>(<span class="keyword">auto</span> kernel: <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502" title="vector of sub-kernels">m_kernels</a>){</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>            <span class="keyword">auto</span> <span class="keyword">const</span>&amp; params = kernel-&gt;parameterVector();</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>            noalias(subrange(ret,pos, pos + params.size())) = params;</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>            pos += params.size();</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        }</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>        <span class="keywordflow">return</span> ret;</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>    }</div>
</div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span> </div>
<div class="foldopen" id="foldopen00126" data-start="{" data-end="}">
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#a3f63ce641b13662b6fa26d86272f80f7">  126</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_product_kernel.html#a3f63ce641b13662b6fa26d86272f80f7" title="Set the parameter vector.">setParameterVector</a>(RealVector <span class="keyword">const</span>&amp; newParameters){</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(newParameters.size() == <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a32f0a658c9e09cfc1f7229b0f129bac1" title="total number of parameters in the product (this is redundant information)">m_numberOfParameters</a>);</div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>        </div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>        std::size_t pos = 0;</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>        <span class="keywordflow">for</span>(<span class="keyword">auto</span> kernel: <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502" title="vector of sub-kernels">m_kernels</a>){</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>            std::size_t numParams = kernel-&gt;numberOfParameters();</div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>            kernel-&gt;setParameterVector(subrange(newParameters,pos, pos + numParams));</div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>            pos += numParams;</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>        }</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>    }</div>
</div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span> </div>
<div class="foldopen" id="foldopen00137" data-start="{" data-end="}">
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#a9d4c8ed31105cc22c5cbd0895db4deb7">  137</a></span>    std::size_t <a class="code hl_function" href="classshark_1_1_product_kernel.html#a9d4c8ed31105cc22c5cbd0895db4deb7" title="Return the number of parameters.">numberOfParameters</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a32f0a658c9e09cfc1f7229b0f129bac1" title="total number of parameters in the product (this is redundant information)">m_numberOfParameters</a>;</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>    }</div>
</div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span><span class="comment"></span> </div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span><span class="comment">    /// \brief evaluates the kernel function</span></div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span><span class="comment">    /// This function returns the product of all sub-kernels.</span></div>
<div class="foldopen" id="foldopen00144" data-start="{" data-end="}">
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#a96625b7eefde13ab0c7cc4f876988e8a">  144</a></span><span class="comment"></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_product_kernel.html#a96625b7eefde13ab0c7cc4f876988e8a" title="evaluates the kernel function">eval</a>(<a class="code hl_typedef" href="classshark_1_1_product_kernel.html#ad3ae67033326d5248ebf276c37113ad1">ConstInputReference</a> x1, <a class="code hl_typedef" href="classshark_1_1_product_kernel.html#ad3ae67033326d5248ebf276c37113ad1">ConstInputReference</a> x2)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>        <span class="keywordtype">double</span> prod = 1.0;</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>        <span class="keywordflow">for</span> (std::size_t i=0; i&lt;<a class="code hl_variable" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502" title="vector of sub-kernels">m_kernels</a>.size(); i++) </div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>            prod *= <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502" title="vector of sub-kernels">m_kernels</a>[i]-&gt;<a class="code hl_function" href="classshark_1_1_product_kernel.html#a96625b7eefde13ab0c7cc4f876988e8a" title="evaluates the kernel function">eval</a>(x1, x2);</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>        <span class="keywordflow">return</span> prod;</div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>    }</div>
</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>    </div>
<div class="foldopen" id="foldopen00151" data-start="{" data-end="}">
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#ab08947e82b49dcbdbac55c1f41246003">  151</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_product_kernel.html#ab08947e82b49dcbdbac55c1f41246003" title="Evaluates the subset of the KernelGram matrix which is defined by X1(rows) and X2 (columns).">eval</a>(<a class="code hl_typedef" href="classshark_1_1_product_kernel.html#aa1a07a8b83d0b9f3062b29b52439a85a">ConstBatchInputReference</a> batchX1, <a class="code hl_typedef" href="classshark_1_1_product_kernel.html#aa1a07a8b83d0b9f3062b29b52439a85a">ConstBatchInputReference</a> batchX2, RealMatrix&amp; result)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>        std::size_t sizeX1 = <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(batchX1);</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>        std::size_t sizeX2 = <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(batchX2);</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>        </div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>        <span class="comment">//evaluate first kernel to initialize the result</span></div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>        <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502" title="vector of sub-kernels">m_kernels</a>[0]-&gt;eval(batchX1,batchX2,result);</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>        </div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>        RealMatrix kernelResult(sizeX1,sizeX2);</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>        <span class="keywordflow">for</span>(std::size_t i = 1; i != <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502" title="vector of sub-kernels">m_kernels</a>.size(); ++i){</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>            <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502" title="vector of sub-kernels">m_kernels</a>[i]-&gt;eval(batchX1,batchX2,kernelResult);</div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>            noalias(result) *= kernelResult;</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>        }</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>    }</div>
</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>    </div>
<div class="foldopen" id="foldopen00165" data-start="{" data-end="}">
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#ae5a2c2aa97baf5a481ca80c2f61b3a10">  165</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_product_kernel.html#ae5a2c2aa97baf5a481ca80c2f61b3a10" title="Evaluates the subset of the KernelGram matrix which is defined by X1(rows) and X2 (columns).">eval</a>(<a class="code hl_typedef" href="classshark_1_1_product_kernel.html#aa1a07a8b83d0b9f3062b29b52439a85a">ConstBatchInputReference</a> batchX1, <a class="code hl_typedef" href="classshark_1_1_product_kernel.html#aa1a07a8b83d0b9f3062b29b52439a85a">ConstBatchInputReference</a> batchX2, RealMatrix&amp; result, <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a>&amp; state)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        <a class="code hl_function" href="classshark_1_1_product_kernel.html#a96625b7eefde13ab0c7cc4f876988e8a" title="evaluates the kernel function">eval</a>(batchX1,batchX2,result);</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>    }</div>
</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>        <span class="comment"></span></div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span><span class="comment">    /// From ISerializable.</span></div>
<div class="foldopen" id="foldopen00170" data-start="{" data-end="}">
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#aeac1d8abd81b80d1550213f5a0cdd0d0">  170</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_product_kernel.html#aeac1d8abd81b80d1550213f5a0cdd0d0" title="From ISerializable.">read</a>(<a class="code hl_typedef" href="namespaceshark.html#ada68729491840669e47c8ad42282424f" title="Type of an archive to read from.">InArchive</a>&amp; ar){</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>        <span class="keywordflow">for</span>(std::size_t i = 0;i != <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502" title="vector of sub-kernels">m_kernels</a>.size(); ++i ){</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>            ar &gt;&gt; *<a class="code hl_variable" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502" title="vector of sub-kernels">m_kernels</a>[i];</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>        }</div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>        ar &gt;&gt; <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a32f0a658c9e09cfc1f7229b0f129bac1" title="total number of parameters in the product (this is redundant information)">m_numberOfParameters</a>;</div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>    }</div>
</div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span><span class="comment"></span> </div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span><span class="comment">    /// From ISerializable.</span></div>
<div class="foldopen" id="foldopen00178" data-start="{" data-end="}">
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#ac9c1bfb999363139a18252af55b119d5">  178</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_product_kernel.html#ac9c1bfb999363139a18252af55b119d5" title="From ISerializable.">write</a>(<a class="code hl_typedef" href="namespaceshark.html#af4f8eb8e9618f5236b71bbcb12b8a524" title="Type of an archive to write to.">OutArchive</a>&amp; ar)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span>        <span class="keywordflow">for</span>(std::size_t i = 0;i != <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502" title="vector of sub-kernels">m_kernels</a>.size(); ++i ){</div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>            ar &lt;&lt; const_cast&lt;AbstractKernelFunction&lt;InputType&gt; <span class="keyword">const</span>&amp;&gt;(*<a class="code hl_variable" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502" title="vector of sub-kernels">m_kernels</a>[i]);<span class="comment">//prevent serialization warning</span></div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span>        }</div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>        ar &lt;&lt; <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a32f0a658c9e09cfc1f7229b0f129bac1" title="total number of parameters in the product (this is redundant information)">m_numberOfParameters</a>;</div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>    }</div>
</div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span> </div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span><span class="keyword">protected</span>:</div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502">  186</a></span>    std::vector&lt;SubKernel*&gt; <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a22104c47d6b9c63d2a1854f561c53502" title="vector of sub-kernels">m_kernels</a>;           <span class="comment">///&lt; vector of sub-kernels</span></div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno"><a class="line" href="classshark_1_1_product_kernel.html#a32f0a658c9e09cfc1f7229b0f129bac1">  187</a></span>    std::size_t <a class="code hl_variable" href="classshark_1_1_product_kernel.html#a32f0a658c9e09cfc1f7229b0f129bac1" title="total number of parameters in the product (this is redundant information)">m_numberOfParameters</a>;        <span class="comment">///&lt; total number of parameters in the product (this is redundant information)</span></div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span>};</div>
</div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span> </div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span> </div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>}</div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span><span class="preprocessor">#endif</span></div>
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